Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157505
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dc.contributor.authorLee, Jun Haoen_US
dc.date.accessioned2022-05-11T00:48:00Z-
dc.date.available2022-05-11T00:48:00Z-
dc.date.issued2022-
dc.identifier.citationLee, J. H. (2022). Accurate building occupancy estimation with inhomogeneous Markov chain. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157505en_US
dc.identifier.urihttps://hdl.handle.net/10356/157505-
dc.description.abstractThe energy consumption of a high-rise structure increases as the urban population grows. The knowledge of a building's occupancy is critical since it has a significant impact on the building's energy usage. To avoid the situation worsening, it is critical to create an occupancy model to address the issue of building energy efficiency. While there are several methods for estimating a building's occupancy, each has its own set of disadvantages. As a result, a less invasive and more accurate method for assessing interior occupancy is critical. This work studies the use of an inhomogeneous Markov chain to anticipate occupancy in a multi-occupant single zone (MOSZ) situation. This experiment's MOSZ scenario is restricted to an NTU Hive lecture room. The number of occupants in the room is counted by PIR sensors and the counts will be served as the states of the Markov chain. Based on the room's actual occupancy measurements, MATLAB simulations are conducted to forecast occupancy. The model's performance is measured using the mean occupancy, the initial arrival time, the continuous occupation time, the number of high occurrences, and the transitions between vacant and occupied states. The normalized root mean square error (NRSME) is used to assess the model's performance. The result of initial arrival and continuous occupation duration are positive, but the others are not that good. These difficulties may be addressed with a larger dataset, and with corrections to the MATLAB code.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA1119-211en_US
dc.subjectEngineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.titleAccurate building occupancy estimation with inhomogeneous Markov chainen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSoh Yeng Chaien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailEYCSOH@ntu.edu.sgen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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